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In recent years, large scale datasets of paired images and sentences have enabled the remarkable success in automatically generating descriptions for images, namely image captioning. However, it is labour-intensive and time-consuming to collect a sufficient number of paired images and sentences in each domain. It may be beneficial to transfer the image captioning model trained in an existing domain with pairs of images and sentences (i.e., source domain) to a new domain with only unpaired data (i.e., target domain). In this paper, we p
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